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Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing Alessandro FabrisAlan MishlerStefano Gottardifabrisal@dei.unipd.it University of Padua Italyamishler@andrew.cmu.edu
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How to fill out algorithmic audit of italian

01
Gather all relevant information and documentation regarding the Italian algorithm that needs to be audited.
02
Analyze the algorithm step by step to understand its functionality, logic, and potential flaws.
03
Check for compliance with legal and ethical standards, such as data protection regulations.
04
Test the algorithm with various inputs to identify any bias, errors, or inaccuracies.
05
Document the findings and recommendations for improvements or corrections.
06
Review and validate the audit report before finalizing and sharing it with the relevant stakeholders.

Who needs algorithmic audit of italian?

01
Organizations using algorithms in Italy to make important decisions.
02
Regulatory bodies overseeing the use of algorithms in Italy.
03
Data protection authorities ensuring compliance with privacy laws.
04
Researchers studying algorithmic bias and discrimination in Italy.
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The algorithmic audit of Italian refers to a systematic evaluation of algorithms used by organizations in Italy to ensure they comply with legal and ethical standards, focusing on transparency, accountability, and data privacy.
Organizations that utilize algorithms for significant decision-making processes, especially those affecting individuals' rights or economic interests, are required to file an algorithmic audit in Italy.
To fill out the algorithmic audit in Italy, organizations need to gather relevant data about their algorithms, assess compliance with regulations, document their findings, and submit the required forms along with any necessary supporting documents.
The purpose of the algorithmic audit in Italy is to ensure that algorithms are fair, transparent, and do not perpetuate discrimination or bias, thereby protecting the rights of individuals and enhancing public trust in automated systems.
Organizations must report information including the purpose of the algorithm, data sources used, decision-making processes, any identified biases, impact assessments, and measures taken to mitigate risks during the algorithmic audit.
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